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how define creadibility Papers 1 1 , 1 2 , 1 3 , 1 4 ? Also How understand cultural from aratrust ? The authors

how define creadibility Papers 11,12,13,14? Also How understand cultural from aratrust ? The authors of the papers you listed define credibility for Large Language Models (LLMs) in several ways, focusing on different aspects of trustworthiness and reliability. Here's a breakdown of how each paper approaches credibility:**Focus on Reliability Assessment:*** Paper 1: **Trustworthiness of Large Language Models (LLMs)**- Defines credibility through factual accuracy, bias detection, and reasoning transparency.* Paper 2: **TrustLLM**- Introduces a benchmark with eight trustworthiness dimensions: truthfulness, safety, fairness, robustness, privacy, machine ethics, explainability, and alignment.* Paper 3: **A Survey of Safety and Trustworthiness...**- Focuses on safety and trustworthiness through Verification and Validation (V&V) techniques.* Paper 4: **On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?**- Challenges the assumption that bigger LLMs are better, raising concerns about potential downsides and limitations of traditional performance metrics.* Paper 5: **Towards Trustworthy Natural Language Generation through Dataset Curation**- Argues that trustworthiness improves with carefully curated training data, focusing on factual accuracy and fairness.* Paper 7: **DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models**- Conducts a comprehensive assessment that goes beyond specific aspects, proposing a framework for integrated assessment using real accuracy, bias detection, reasonable transparency, safety, privacy, and durability.**Other Considerations for Credibility:*** Paper 6: **Training Compute-Optimal Large Language Models**- While focusing on computational efficiency, mentions smaller models might be less prone to memorization and improve reliability criteria like acL Paper 11: **Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression**- Examines how compression techniques affect reliability aspects like stereotyping, fairness, and ethics. * Paper 12: **TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution**- Emphasizes security as a critical aspect for LLM agents interacting with the physical world. * Paper 13: **AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic**- Introduces a benchmark for Arabic LLMs focusing on accuracy, security, impartiality, explicability, and coherence.Overall, credibility for LLMs is a multifaceted concept. These papers highlight various aspects like factual correctness, bias detection, explainability, safety, security, and responsible development practices.

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